Publications by Alessandro Fumarola

Non-filamentary non-volatile memory elements as synapses in neuromorphic systems

Yusuf Leblebici, Alessandro Fumarola, Severin Sidler

Crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing highly energy-efficient neuromorphic computing systems. For Deep Neural Networks (DNN), where information can be encoded as analog voltage and current levels, ...

IEEE2019

A Reconfigurable Inductor Based on Vanadium Dioxide Insulator-to-Metal Transition

Mihai Adrian Ionescu, Montserrat Fernandez-Bolanos Badia, Emanuele Andrea Casu, Matteo Cavalieri, Andrei Müller, Alessandro Fumarola

This letter introduces a reconfigurable planar square-coil-shaped inductor exploiting as the tuning mechanism the insulator-to-metal transition (IMT) of a vanadium dioxide (VO2) switch placed in the interwinding space in an unprecedented manner. The VO2 th ...

2018

Tunable RF phase shifters based on Vanadium Dioxide metal insulator transition

Mihai Adrian Ionescu, Anna Krammer, Andrei Müller, Josef Andreas Schuler, Montserrat Fernandez-Bolanos Badia, Wolfgang Amadeus Vitale, Emanuele Andrea Casu, Matteo Cavalieri, Nicolò Oliva, Alessandro Fumarola

2018

Vanadium Oxide Bandstop Tunable Filter for Ka Frequency Bands Based on a Novel Reconfigurable Spiral Shape Defected Ground Plane CPW

Mihai Adrian Ionescu, Anna Krammer, Emanuele Andrea Casu, Josef Andreas Schuler, Andrei Müller, Montserrat Fernandez-Bolanos Badia, Alessandro Fumarola

2018

Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr0.7Ca0.3MnO3 Device Characteristics on Neural Network Training Accuracy

Yusuf Leblebici, Alessandro Fumarola, Severin Sidler

2018

Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

Yusuf Leblebici, Alessandro Fumarola

Machine Learning (ML) is an attractive application of Non-Volatile Memory (NVM) arrays [1,2]. However, achieving speedup over GPUs will require minimal neuron circuit sharing and thus highly area-efficient peripheral circuitry, so that ML reads and writes ...

2017

Accelerating Machine Learning with Non-Volatile Memory: exploring device and circuit tradeoffs

Alessandro Fumarola, Severin Sidler

Large arrays of the same nonvolatile memories (NVM) being developed for Storage-Class Memory (SCM) such as Phase Change Memory (PCM) and Resistance RAM (ReRAM) - can also be used in non-Von Neumann neuromorphic computational schemes, with device conductanc ...

Ieee2016

Neuromorphic Computing Using Non-Volatile Memory

Yusuf Leblebici, Irem Boybat Kara, Alessandro Fumarola, Seyoung Kim, Abu Sebastian, Severin Sidler

Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing massively-parallel and highly energy-efficient neuromorphic computing systems. We first review recent advances in the application of NVM devices to thre ...

2016

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Yusuf Leblebici, Irem Boybat Kara, Alessandro Fumarola, Severin Sidler

We assess the impact of the conductance response of Non-Volatile Memory (NVM) devices employed as the synaptic weight element for on-chip acceleration of the training of large-scale artificial neural networks (ANN). We briefly review our previous work towa ...

Ieee2016